{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--\n",
    "tags: [\"orchestration\"]\n",
    "description: |\n",
    "    Explore the demonstration of the Finite State Machine implementation, which allows the user to input speaker transition contraints.\n",
    "-->\n",
    "\n",
    "# FSM - User can input speaker transition contraints.\n",
    "\n",
    "AutoGen offers conversable agents powered by LLM, tool, or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation.\n",
    "Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\n",
    "\n",
    "This notebook is about using graphs to define the transition paths amongst speakers.\n",
    "\n",
    "Benefits\n",
    "- This contribution fills the gap between the current modes of GroupChat Class (auto, manual, round_robin) and an expressive directed graph. See Motivation for more detailed discussion.\n",
    "\n",
    "\n",
    "````{=mdx}\n",
    ":::info Requirements\n",
    "Install `pyautogen`:\n",
    "```bash\n",
    "pip install pyautogen\n",
    "```\n",
    "\n",
    "For more information, please refer to the [installation guide](/docs/installation/).\n",
    ":::\n",
    "````"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n",
      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%%capture --no-stderr\n",
    "%pip install pyautogen[graph]>=0.2.11"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random  # noqa E402\n",
    "\n",
    "import matplotlib.pyplot as plt  # noqa E402\n",
    "import networkx as nx  # noqa E402\n",
    "\n",
    "import autogen  # noqa E402\n",
    "from autogen.agentchat.conversable_agent import ConversableAgent  # noqa E402\n",
    "from autogen.agentchat.assistant_agent import AssistantAgent  # noqa E402\n",
    "from autogen.agentchat.groupchat import GroupChat  # noqa E402\n",
    "from autogen.graph_utils import visualize_speaker_transitions_dict  # noqa E402"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.2.14\n"
     ]
    }
   ],
   "source": [
    "print(autogen.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Motivation\n",
    "\n",
    "\n",
    "The current GroupChat class allows transition to any agent (without or without the decision of LLM), some use case might demand for more control over transition. A graph is a possible way to control the transition paths, where each node represents an agent and each directed edge represent possible transition path. Let's illustrate the current transition paths for a GroupChat with five agents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "config_list_gpt4 = {\n",
    "    \"timeout\": 600,\n",
    "    \"cache_seed\": 44,  # change the seed for different trials\n",
    "    \"config_list\": autogen.config_list_from_json(\n",
    "        \"OAI_CONFIG_LIST\",\n",
    "        filter_dict={\"model\": [\"gpt-4\", \"gpt-4-0613\", \"gpt-4-32k\", \"gpt-4-32k-0613\", \"gpt-4-1106-preview\"]},\n",
    "    ),\n",
    "    \"temperature\": 0,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "agents = [ConversableAgent(name=f\"Agent{i}\", llm_config=False) for i in range(5)]\n",
    "allowed_speaker_transitions_dict = {agent: [other_agent for other_agent in agents] for agent in agents}\n",
    "\n",
    "visualize_speaker_transitions_dict(allowed_speaker_transitions_dict, agents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Possibly interesting transition paths\n",
    "1. Hub and Spoke\n",
    "2. Sequential Team Operations\n",
    "3. Think aloud and debate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "agents = [ConversableAgent(name=f\"Agent{i}\", llm_config=False) for i in range(5)]\n",
    "allowed_speaker_transitions_dict = {\n",
    "    agents[0]: [agents[1], agents[2], agents[3], agents[4]],\n",
    "    agents[1]: [agents[0]],\n",
    "    agents[2]: [agents[0]],\n",
    "    agents[3]: [agents[0]],\n",
    "    agents[4]: [agents[0]],\n",
    "}\n",
    "\n",
    "visualize_speaker_transitions_dict(allowed_speaker_transitions_dict, agents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<autogen.agentchat.conversable_agent.ConversableAgent object at 0x7fd45a19da80>\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sequential Team Operations\n",
    "# Create an empty directed graph\n",
    "\n",
    "speaker_transitions_dict = {}\n",
    "teams = [\"A\", \"B\", \"C\"]\n",
    "team_size = 5\n",
    "\n",
    "\n",
    "def get_agent_of_name(agents, name) -> ConversableAgent:\n",
    "    for agent in agents:\n",
    "        if agent.name == name:\n",
    "            return agent\n",
    "\n",
    "\n",
    "# Create a list of 15 agents 3 teams x 5 agents\n",
    "agents = [ConversableAgent(name=f\"{team}{i}\", llm_config=False) for team in teams for i in range(team_size)]\n",
    "\n",
    "# Loop through each team and add members and their connections\n",
    "for team in teams:\n",
    "    for i in range(team_size):\n",
    "        member = f\"{team}{i}\"\n",
    "        # Connect each member to other members of the same team\n",
    "        speaker_transitions_dict[get_agent_of_name(agents, member)] = [\n",
    "            get_agent_of_name(agents, name=f\"{team}{j}\") for j in range(team_size) if j != i\n",
    "        ]\n",
    "\n",
    "# Team leaders connection\n",
    "print(get_agent_of_name(agents, name=\"B0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"A0\")].append(get_agent_of_name(agents, name=\"B0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"B0\")].append(get_agent_of_name(agents, name=\"C0\"))\n",
    "\n",
    "visualize_speaker_transitions_dict(speaker_transitions_dict, agents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "agents = [ConversableAgent(name=f\"Agent{i}\", llm_config=False) for i in range(2)]\n",
    "allowed_speaker_transitions_dict = {\n",
    "    agents[0]: [agents[0], agents[1]],\n",
    "    agents[1]: [agents[0], agents[1]],\n",
    "}\n",
    "\n",
    "visualize_speaker_transitions_dict(allowed_speaker_transitions_dict, agents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demonstration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`GroupChat` now takes in two optional arguments.\n",
    "- allowed_or_disallowed_speaker_transitions: The keys are source agents, and the values are agents that the key agent can/can't transit to, depending on speaker_transitions_type. Default is None, which means all agents can transit to all other agents.\n",
    "- speaker_transitions_type: whether the speaker_transitions_type is a dictionary containing lists of allowed agents or disallowed agents. \"allowed\" means the `allowed_or_disallowed_speaker_transitions` is a dictionary containing lists of allowed agents."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Team Operations\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create an empty directed graph\n",
    "agents = []\n",
    "speaker_transitions_dict = {}\n",
    "secret_values = {}\n",
    "\n",
    "# Outer loop for prefixes 'A', 'B', 'C'\n",
    "for prefix in [\"A\", \"B\", \"C\"]:\n",
    "    # Add 3 nodes with each prefix to the graph using a for loop\n",
    "    for i in range(3):\n",
    "        node_id = f\"{prefix}{i}\"\n",
    "        secret_value = random.randint(1, 5)  # Generate a random secret value\n",
    "        secret_values[node_id] = secret_value\n",
    "\n",
    "        # Create an AssistantAgent for each node (assuming AssistantAgent is a defined class)\n",
    "        agents.append(\n",
    "            AssistantAgent(\n",
    "                name=node_id,\n",
    "                system_message=f\"\"\"Your name is {node_id}.\n",
    "                                          Do not respond as the speaker named in the NEXT tag if your name is not in the NEXT tag. Instead, suggest a relevant team leader to handle the mis-tag, with the NEXT: tag.\n",
    "\n",
    "                                          You have {secret_value} chocolates.\n",
    "\n",
    "                                          The list of players are [A0, A1, A2, B0, B1, B2, C0, C1, C2].\n",
    "\n",
    "                                            Your first character of your name is your team, and your second character denotes that you are a team leader if it is 0.\n",
    "                                            CONSTRAINTS: Team members can only talk within the team, whilst team leader can talk to team leaders of other teams but not team members of other teams.\n",
    "\n",
    "                                            You can use NEXT: to suggest the next speaker. You have to respect the CONSTRAINTS, and can only suggest one player from the list of players, i.e., do not suggest A3 because A3 is not from the list of players.\n",
    "                                            Team leaders must make sure that they know the sum of the individual chocolate count of all three players in their own team, i.e., A0 is responsible for team A only.\n",
    "\n",
    "                                          Keep track of the player's tally using a JSON format so that others can check the total tally. Use\n",
    "                                          A0:?, A1:?, A2:?,\n",
    "                                          B0:?, B1:?, B2:?,\n",
    "                                          C0:?, C1:?, C2:?\n",
    "\n",
    "                                          If you are the team leader, you should aggregate your team's total chocolate count to cooperate.\n",
    "                                          Once the team leader know their team's tally, they can suggest another team leader for them to find their team tally, because we need all three team tallys to succeed.\n",
    "                                          Use NEXT: to suggest the next speaker, e.g., NEXT: A0.\n",
    "\n",
    "                                          Once we have the total tally from all nine players, sum up all three teams' tally, then terminate the discussion using TERMINATE.\n",
    "\n",
    "                                          \"\"\",\n",
    "                llm_config=config_list_gpt4,\n",
    "            )\n",
    "        )\n",
    "        speaker_transitions_dict[agents[-1]] = []\n",
    "\n",
    "    # Add edges between nodes with the same prefix using a nested for loop\n",
    "    for source_node in range(3):\n",
    "        source_id = f\"{prefix}{source_node}\"\n",
    "        for target_node in range(3):\n",
    "            target_id = f\"{prefix}{target_node}\"\n",
    "            if source_node != target_node:  # To avoid self-loops\n",
    "                speaker_transitions_dict[get_agent_of_name(agents, source_id)].append(\n",
    "                    get_agent_of_name(agents, name=target_id)\n",
    "                )\n",
    "\n",
    "\n",
    "# Adding edges between teams\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"A0\")].append(get_agent_of_name(agents, name=\"B0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"A0\")].append(get_agent_of_name(agents, name=\"C0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"B0\")].append(get_agent_of_name(agents, name=\"A0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"B0\")].append(get_agent_of_name(agents, name=\"C0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"C0\")].append(get_agent_of_name(agents, name=\"A0\"))\n",
    "speaker_transitions_dict[get_agent_of_name(agents, \"C0\")].append(get_agent_of_name(agents, name=\"B0\"))\n",
    "\n",
    "\n",
    "# Visualization only\n",
    "graph = nx.DiGraph()\n",
    "\n",
    "# Add nodes\n",
    "graph.add_nodes_from([agent.name for agent in agents])\n",
    "\n",
    "# Add edges\n",
    "for key, value in speaker_transitions_dict.items():\n",
    "    for agent in value:\n",
    "        graph.add_edge(key.name, agent.name)\n",
    "\n",
    "# Visualize\n",
    "# Draw the graph with secret values annotated\n",
    "plt.figure(figsize=(12, 10))\n",
    "pos = nx.spring_layout(graph)  # positions for all nodes\n",
    "\n",
    "# Draw nodes with their colors\n",
    "nx.draw(graph, pos, with_labels=True, font_weight=\"bold\")\n",
    "\n",
    "# Annotate secret values\n",
    "for node, (x, y) in pos.items():\n",
    "    secret_value = secret_values[node]\n",
    "    plt.text(x, y + 0.1, s=f\"Secret: {secret_value}\", horizontalalignment=\"center\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Termination message detection\n",
    "\n",
    "\n",
    "def is_termination_msg(content) -> bool:\n",
    "    have_content = content.get(\"content\", None) is not None\n",
    "    if have_content and \"TERMINATE\" in content[\"content\"]:\n",
    "        return True\n",
    "    return False\n",
    "\n",
    "\n",
    "# Terminates the conversation when TERMINATE is detected.\n",
    "user_proxy = autogen.UserProxyAgent(\n",
    "    name=\"User_proxy\",\n",
    "    system_message=\"Terminator admin.\",\n",
    "    code_execution_config=False,\n",
    "    is_termination_msg=is_termination_msg,\n",
    "    human_input_mode=\"NEVER\",\n",
    ")\n",
    "\n",
    "agents.append(user_proxy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Warning: There are isolated agent nodes, there are not incoming nor outgoing edges. Isolated agents: ['User_proxy']\n",
      "WARNING:root:Warning: The set of agents in allowed_speaker_transitions do not match agents. Offending agents: ['User_proxy']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mA0\u001b[0m (to chat_manager):\n",
      "\n",
      "\n",
      "                        There are 9 players in this game, split equally into Teams A, B, C. Therefore each team has 3 players, including the team leader.\n",
      "                        The task is to find out the sum of chocolate count from all nine players. I will now start with my team.\n",
      "                        NEXT: A1\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mA1\u001b[0m (to chat_manager):\n",
      "\n",
      "As A1, I have 2 chocolates. \n",
      "\n",
      "A0:?, A1:2, A2:?, \n",
      "B0:?, B1:?, B2:?, \n",
      "C0:?, C1:?, C2:?\n",
      "\n",
      "NEXT: A2\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mA2\u001b[0m (to chat_manager):\n",
      "\n",
      "As A2, I have 2 chocolates.\n",
      "\n",
      "A0:?, A1:2, A2:2, \n",
      "B0:?, B1:?, B2:?, \n",
      "C0:?, C1:?, C2:?\n",
      "\n",
      "NEXT: A0\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mA0\u001b[0m (to chat_manager):\n",
      "\n",
      "As A0, I have 1 chocolate. So, the total chocolate count for team A is 5.\n",
      "\n",
      "A0:1, A1:2, A2:2, \n",
      "B0:?, B1:?, B2:?, \n",
      "C0:?, C1:?, C2:?\n",
      "\n",
      "Now, I suggest the next team leader to find out their team's tally.\n",
      "NEXT: B0\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mB0\u001b[0m (to chat_manager):\n",
      "\n",
      "As B0, I have 3 chocolates. Now, I will ask my team members about their count.\n",
      "\n",
      "B0:3, B1:?, B2:?, \n",
      "A0:1, A1:2, A2:2, \n",
      "C0:?, C1:?, C2:?\n",
      "\n",
      "NEXT: B1\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mB1\u001b[0m (to chat_manager):\n",
      "\n",
      "As B1, I have 1 chocolate.\n",
      "\n",
      "B0:3, B1:1, B2:?, \n",
      "A0:1, A1:2, A2:2, \n",
      "C0:?, C1:?, C2:?\n",
      "\n",
      "NEXT: B2\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mB2\u001b[0m (to chat_manager):\n",
      "\n",
      "As B2, I have 2 chocolates. So, the total chocolate count for team B is 6.\n",
      "\n",
      "B0:3, B1:1, B2:2, \n",
      "A0:1, A1:2, A2:2, \n",
      "C0:?, C1:?, C2:?\n",
      "\n",
      "Now, I suggest the next team leader to find out their team's tally.\n",
      "NEXT: C0\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mB0\u001b[0m (to chat_manager):\n",
      "\n",
      "As C0, I have 4 chocolates. Now, I will ask my team members about their count.\n",
      "\n",
      "C0:4, C1:?, C2:?, \n",
      "B0:3, B1:1, B2:2, \n",
      "A0:1, A1:2, A2:2, \n",
      "\n",
      "NEXT: C1\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mC0\u001b[0m (to chat_manager):\n",
      "\n",
      "As C1, I have 2 chocolates.\n",
      "\n",
      "C0:4, C1:2, C2:?, \n",
      "B0:3, B1:1, B2:2, \n",
      "A0:1, A1:2, A2:2, \n",
      "\n",
      "NEXT: C2\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\u001b[33mC2\u001b[0m (to chat_manager):\n",
      "\n",
      "As C2, I have 1 chocolate. So, the total chocolate count for team C is 7.\n",
      "\n",
      "C0:4, C1:2, C2:1, \n",
      "B0:3, B1:1, B2:2, \n",
      "A0:1, A1:2, A2:2, \n",
      "\n",
      "Now, we have the total tally from all nine players. The sum of all three teams' tally is 18. \n",
      "\n",
      "TERMINATE.\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "ChatResult(chat_history=[{'content': '\\n                        There are 9 players in this game, split equally into Teams A, B, C. Therefore each team has 3 players, including the team leader.\\n                        The task is to find out the sum of chocolate count from all nine players. I will now start with my team.\\n                        NEXT: A1', 'role': 'assistant'}, {'content': 'As A1, I have 2 chocolates. \\n\\nA0:?, A1:2, A2:?, \\nB0:?, B1:?, B2:?, \\nC0:?, C1:?, C2:?\\n\\nNEXT: A2', 'name': 'A1', 'role': 'user'}, {'content': 'As A2, I have 2 chocolates.\\n\\nA0:?, A1:2, A2:2, \\nB0:?, B1:?, B2:?, \\nC0:?, C1:?, C2:?\\n\\nNEXT: A0', 'name': 'A2', 'role': 'user'}, {'content': \"As A0, I have 1 chocolate. So, the total chocolate count for team A is 5.\\n\\nA0:1, A1:2, A2:2, \\nB0:?, B1:?, B2:?, \\nC0:?, C1:?, C2:?\\n\\nNow, I suggest the next team leader to find out their team's tally.\\nNEXT: B0\", 'role': 'assistant'}, {'content': 'As B0, I have 3 chocolates. Now, I will ask my team members about their count.\\n\\nB0:3, B1:?, B2:?, \\nA0:1, A1:2, A2:2, \\nC0:?, C1:?, C2:?\\n\\nNEXT: B1', 'name': 'B0', 'role': 'user'}, {'content': 'As B1, I have 1 chocolate.\\n\\nB0:3, B1:1, B2:?, \\nA0:1, A1:2, A2:2, \\nC0:?, C1:?, C2:?\\n\\nNEXT: B2', 'name': 'B1', 'role': 'user'}, {'content': \"As B2, I have 2 chocolates. So, the total chocolate count for team B is 6.\\n\\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\nC0:?, C1:?, C2:?\\n\\nNow, I suggest the next team leader to find out their team's tally.\\nNEXT: C0\", 'name': 'B2', 'role': 'user'}, {'content': 'As C0, I have 4 chocolates. Now, I will ask my team members about their count.\\n\\nC0:4, C1:?, C2:?, \\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\n\\nNEXT: C1', 'name': 'B0', 'role': 'user'}, {'content': 'As C1, I have 2 chocolates.\\n\\nC0:4, C1:2, C2:?, \\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\n\\nNEXT: C2', 'name': 'C0', 'role': 'user'}, {'content': \"As C2, I have 1 chocolate. So, the total chocolate count for team C is 7.\\n\\nC0:4, C1:2, C2:1, \\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\n\\nNow, we have the total tally from all nine players. The sum of all three teams' tally is 18. \\n\\nTERMINATE.\", 'name': 'C2', 'role': 'user'}], summary=\"As C2, I have 1 chocolate. So, the total chocolate count for team C is 7.\\n\\nC0:4, C1:2, C2:1, \\nB0:3, B1:1, B2:2, \\nA0:1, A1:2, A2:2, \\n\\nNow, we have the total tally from all nine players. The sum of all three teams' tally is 18. \\n\\n.\", cost=({'total_cost': 0.48207, 'gpt-4-0613': {'cost': 0.48207, 'prompt_tokens': 15865, 'completion_tokens': 102, 'total_tokens': 15967}}, {'total_cost': 0.48207, 'gpt-4-0613': {'cost': 0.48207, 'prompt_tokens': 15865, 'completion_tokens': 102, 'total_tokens': 15967}}), human_input=[])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_chat = GroupChat(\n",
    "    agents=agents,\n",
    "    messages=[],\n",
    "    max_round=20,\n",
    "    allowed_or_disallowed_speaker_transitions=speaker_transitions_dict,\n",
    "    speaker_transitions_type=\"allowed\",\n",
    ")\n",
    "\n",
    "\n",
    "# Create the manager\n",
    "manager = autogen.GroupChatManager(\n",
    "    groupchat=group_chat,\n",
    "    llm_config=config_list_gpt4,\n",
    "    code_execution_config=False,\n",
    "    is_termination_msg=is_termination_msg,\n",
    ")\n",
    "\n",
    "\n",
    "# Initiates the chat with Alice\n",
    "agents[0].initiate_chat(\n",
    "    manager,\n",
    "    message=\"\"\"\n",
    "                        There are 9 players in this game, split equally into Teams A, B, C. Therefore each team has 3 players, including the team leader.\n",
    "                        The task is to find out the sum of chocolate count from all nine players. I will now start with my team.\n",
    "                        NEXT: A1\"\"\",\n",
    ")"
   ]
  }
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